IBM SPSS Modeler vs TIBCO Data Science comparison

IBM and TIBCO are both solutions in the Data Science Platforms category. IBM is ranked #19 with an average rating of 7.0, while TIBCO is ranked #25. IBM holds a 2.6% mindshare in Data Science Platforms, compared to TIBCO’s 0.7% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 100% of TIBCO users who would recommend it.

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,195 Views
1,449 Comparison Views

86% willing to recommend

TIBCO Data Science

Read 4 TIBCO Data Science reviews

383 Views
368 Comparison Views

100% willing to recommend

IBM SPSS Modeler

TIBCO Data Science

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 5, 2024

IBM SPSS Modeler and TIBCO Data Science offer data analysis and predictive modeling solutions, competing in the analytics market. TIBCO Data Science offers a more extensive feature set, capturing the interest of data scientists with its advanced capabilities, potentially giving it an edge over IBM SPSS Modeler.

Features: IBM SPSS Modeler's user-friendly interface caters to both statistical and predictive analysis, offering robust machine learning algorithm support and smooth system integration. TIBCO Data Science stands out with advanced analytics, comprehensive data visualization options, and its proficiency in managing intricate data workflows, making it appropriate for complex projects.

Room for Improvement: IBM SPSS Modeler could benefit from enhanced data visualization capabilities and more extensive integration with other analytics tools. Its governance and security features could also be broadened. TIBCO Data Science may improve on simplifying its interface for new users, enhancing ease of use without compromising its robust functionality and expanding its real-time data processing abilities.

Ease of Deployment and Customer Service: IBM SPSS Modeler offers seamless integration and quick deployment, often providing prompt support resolution ideal for existing workflows. TIBCO Data Science provides flexible deployment options and effective customer service, suitable for complex environments requiring comprehensive support.

Pricing and ROI: IBM SPSS Modeler generally offers a lower setup cost and faster ROI for businesses focused on standard predictive analytics, appealing to those with budget constraints. TIBCO Data Science may require a larger initial investment but offers substantial long-term benefits in complex analytics scenarios.

To learn more, read our detailed IBM SPSS Modeler vs. TIBCO Data Science Report (Updated: July 2025).

Buyer's Guide

IBM SPSS Modeler vs. TIBCO Data Science

July 2025

Download the complete report

Helped 865,384 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

IBM SPSS Modeler

Ranking in Data Science Platforms

19th

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Mining (4th)

TIBCO Data Science

Ranking in Data Science Platforms

25th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Science Platforms category, the mindshare of IBM SPSS Modeler is 2.6%, up from 2.5% compared to the previous year. The mindshare of TIBCO Data Science is 0.7%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

PeterHuo

Application Architect at Canada Border Services Agency

Good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data

There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database. When streams become larger, performance bottlenecks may occur in the IBM SPSS Modeler server or the database. Sometimes the server crashes and needs to be restarted to release memory on both sides. I'm not sure exactly where the problem is caused, as I focus on stream design rather than server issues. The problem could be on the IBM SPSS Modeler server and database.

Read full review

Veeresh-SHRINGARI

Portfolio Manager, AI & ML at a healthcare company with 10,001+ employees

A straightforward initial setup and good reporting but needs better documentation

It would be ideal if it could be put onto the NMP where you can make more of an analysis. Right now, people don't have enough time to go through the report and make an analysis. It should provide the information of what is on the report into some kind of a dialogue form. Then, a person can ask certain questions and it could interactively give the required report. In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues. If you are doing certain operations of RDBMS, you suffer in terms of the latency of the data. That can be improved upon. Users should be able to cross tables of the web pages they are developing on Spotfire and this needs to be really easy and convenient. Right now, you need to do a lot of tweaks. The solution should be more user-friendly and require fewer tweaks, extensions, and workarounds.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Stability is good."

"It works fine. I have not had any stability issues; it is always up."

"A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly."

"It gives you a GUI interface, which is a lot more user-friendly and easier to use compared to writing R scripts or Python."

"We use analytics with the visual modeling capability to leverage productivity improvements."

"It handles large data better than the previous system that we were using, which was basically Excel and Access. We serve upwards of 300,000 parts over a 150 regions and we need to crunch a lot of numbers."

"We had an IBM Guardium service contract where we used one of their resources to help us develop our prototype. It was a good experience, but they were helpful and responsive."

"The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well."

More IBM SPSS Modeler pros

"We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost."

"The most valuable feature is the ease of setting up visualizations."

"The most valuable feature is the performance."

"The idea that you don't have to generate reports each day but they are sent automatically is great."

Cons

"It would be beneficial if the tool would include more well-known machine learning algorithms."

"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."

"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."

"I understand that it takes some time to incorporate some of the new algorithms that have come out in the last few months, in the literature. For example, there is an algorithm based on how ants search for food. And there are some algorithms that have now been developed to complement rules. So that's one of the things that we need to have incorporated into it."

"Unstructured data is not appropriate for SPSS Modeler."

"Requires more development."

"The time series should be improved."

"Expensive to deploy solutions. You need to buy an extra deployment unit."

More IBM SPSS Modeler cons

"Additional templates would help to get things moving more quickly in terms of getting the reports out."

"In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues."

"The scripting for customization could be improved."

"I would like the visualization for the map of countries to be more easily configurable."

Pricing and Cost Advice

"This tool, being an IBM product, is pretty expensive."

"$5,000 annually."

"When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount."

"Its price is okay for a company, but for personal use, it is considered somewhat expensive."

"It got us a good amount of money with quick and efficient modeling."

"It is an expensive product."

"Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers."

"I am using the free version of IBM SPSS Modeler, it is the educational edition version."

More IBM SPSS Modeler pricing and cost advice

Information not available

See which vendors are best for you

Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.

See recommendations

865,384 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

12%

Educational Organization

11%

Government

10%

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about IBM SPSS Modeler?

Compared to other tools, the product works much easier to analyze data without coding.

See all answers

What is your experience regarding pricing and costs for IBM SPSS Modeler?

The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten us...

See all answers

What needs improvement with IBM SPSS Modeler?

See all answers

Ask a question

Earn 20 points

Comparisons

Microsoft Power BI vs IBM SPSS Modeler

Compared 24% of the time

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 24% of the time

KNIME Business Hub vs IBM SPSS Modeler

Compared 14% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 7% of the time

Alteryx vs IBM SPSS Modeler

Compared 6% of the time

More IBM SPSS Modeler Competitors

Databricks vs TIBCO Data Science

Compared 28% of the time

Alteryx vs TIBCO Data Science

Compared 19% of the time

SAS Enterprise Miner vs TIBCO Data Science

Compared 18% of the time

Dataiku vs TIBCO Data Science

Compared 18% of the time

Amazon SageMaker vs TIBCO Data Science

Compared 16% of the time

More TIBCO Data Science Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

August 2025

Download IBM SPSS Modeler product report

Buyer's Guide

Data Science Platforms

August 2025

Download TIBCO Data Science product report

Also Known As

SPSS Modeler

Alpine Data Chorus

Overview

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

Buy
https://www.ibm.com/products/spss-modeler/pricing

Sign up for the trial
https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947

IBM

TIBCO Spotfire Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.

TIBCO

Sample Customers

Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey

Havas Media, Tipping Point Community, eviCore

Buyer's Guide

IBM SPSS Modeler vs. TIBCO Data Science

July 2025

Free Report: IBM SPSS Modeler vs. TIBCO Data Science

Find out what your peers are saying about IBM SPSS Modeler vs. TIBCO Data Science and other solutions. Updated: July 2025.

DOWNLOAD NOW

865,384 professionals have used our research since 2012.

See our IBM SPSS Modeler vs. TIBCO Data Science report.

See our list of best Data Science Platforms vendors.

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.